scholarly journals Molecular Epidemiology of Echovirus 30: Temporal Circulation and Prevalence of Single Lineages

2002 ◽  
Vol 76 (10) ◽  
pp. 4940-4949 ◽  
Author(s):  
G. Palacios ◽  
I. Casas ◽  
D. Cisterna ◽  
G. Trallero ◽  
A. Tenorio ◽  
...  
Keyword(s):  
Amino Acid ◽  
Molecular Epidemiology ◽  
Phylogenetic Trees ◽  
Immune Escape ◽  
Amino Acid Sequences ◽  
Clinical Samples ◽  
Genetic Classification ◽  
Echovirus 30 ◽  
Complete Study ◽  
Complete Set

ABSTRACT Echovirus 30 (EV30) is one of the most frequently isolated EVs, causing extensive outbreaks of EV30 aseptic meningitis in temperate climates. EV30 is antigenically heterogeneous, and three major antigenic groups have been defined, although the basis for the antigenic differences is unknown. A reverse transcription-nested PCR which amplifies the 3′-terminal region of the VP1 gene directly from clinical samples was selected for studying EV30 molecular epidemiology, since the major antigenic sites in this region reflect the serotypic pattern of this virus. The different previous approaches to the genetic classification of EV30 were analyzed. A complete study of the EV30 strains was performed by analyzing the sequences from the 112 EV30 strains amplified in this work and the complete set of EV30 strains previously published. A total of 318 strains of EV30 were divided into two broad genotypes (I and II). This classification was supported by the phylogenetic trees obtained from amino acid sequences, and it correlated with the antigenic heterogeneity of the reference strains described in earlier studies. The genotypes could be further divided into subgroups, and these subgroups could be divided into lineages based on their nucleotide distances and levels of bootstrapping. On the other hand, the subgroups and lineages did not result in the same correlation between amino acid and nucleotide differentiation. The molecular epidemiology of EV30 can be compared to influenza virus epidemiology, where prevailing lineages displace the less established lineages on the basis of immune escape. This pattern of evolution is clearly different from that of other enteroviruses. A single lineage at a time appears to be circulating worldwide. This behavior may be related to the epidemic activity of EV30.

scholarly journals Phylogenetic Analysis: Basic Concepts and Its Use as a Tool for Virology and Molecular Epidemiology

2018 ◽  
Vol 44 (1) ◽  
pp. 20
Author(s):  
Eloiza Teles Caldart ◽  
Helena Mata ◽  
Cláudio Wageck Canal ◽  
Ana Paula Ravazzolo
Keyword(s):  
Phylogenetic Analysis ◽  
Amino Acid ◽  
Molecular Epidemiology ◽  
Phylogenetic Analyses ◽  
Phylogenetic Reconstruction ◽  
Evolutionary Process ◽  
Amino Acid Sequences ◽  
Evolutionary Models ◽  
Reconstruction Methods ◽  
Basic Concepts

Background: Phylogenetic analyses are an essential part in the exploratory assessment of nucleic acid and amino acid sequences. Particularly in virology, they are able to delineate the evolution and epidemiology of disease etiologic agents and/or the evolutionary path of their hosts. The objective of this review is to help researchers who want to use phylogenetic analyses as a tool in virology and molecular epidemiology studies, presenting the most commonly used methodologies, describing the importance of the different techniques, their peculiar vocabulary and some examples of their use in virology.Review: This article starts presenting basic concepts of molecular epidemiology and molecular evolution, emphasizing their relevance in the context of viral infectious diseases. It presents a session on the vocabulary relevant to the subject, bringing readers to a minimum level of knowledge needed throughout this literature review. Within its main subject, the text explains what a molecular phylogenetic analysis is, starting from a multiple alignment of nucleotide or amino acid sequences. The different software used to perform multiple alignments may apply different algorithms. To build a phylogeny based on amino acid or nucleotide sequences it is necessary to produce a data matrix based on a model for nucleotide or amino acid replacement, also called evolutionary model. There are a number of evolutionary models available, varying in complexity according to the number of parameters (transition, transversion, GC content, nucleotide position in the codon, among others). Some papers presented herein provide techniques that can be used to choose evolutionary models. After the model is chosen, the next step is to opt for a phylogenetic reconstruction method that best fits the available data and the selected model. Here we present the most common reconstruction methods currently used, describing their principles, advantages and disadvantages. Distance methods, for example, are simpler and faster, however, they do not provide reliable estimations when the sequences are highly divergent. The accuracy of the analysis with probabilistic models (neighbour joining, maximum likelihood and bayesian inference) strongly depends on the adherence of the actual data to the chosen development model. Finally, we also explore topology confidence tests, especially the most used one, the bootstrap. To assist the reader, this review presents figures to explain specific situations discussed in the text and numerous examples of previously published scientific articles in virology that demonstrate the importance of the techniques discussed herein, as well as their judicious use.Conclusion: The DNA sequence is not only a record of phylogeny and divergence times, but also keeps signs of how the evolutionary process has shaped its history and also the elapsed time in the evolutionary process of the population. Analyses of genomic sequences by molecular phylogeny have demonstrated a broad spectrum of applications. It is important to note that for the different available data and different purposes of phylogenies, reconstruction methods and evolutionary models should be wisely chosen. This review provides theoretical basis for the choice of evolutionary models and phylogenetic reconstruction methods best suited to each situation. In addition, it presents examples of diverse applications of molecular phylogeny in virology.

scholarly journals Techniques for the verification of minimal phylogenetic trees illustrated with ten mammalian haemoglobin sequences

1980 ◽  
Vol 187 (1) ◽  
pp. 65-74 ◽  
Author(s):  
D Penny ◽  
M D Hendy ◽  
L R Foulds
Keyword(s):  
Amino Acid ◽  
Phylogenetic Tree ◽  
Protein Sequence ◽  
Phylogenetic Trees ◽  
Sequence Data ◽  
Protein Sequences ◽  
Nucleotide Sequences ◽  
Amino Acid Sequences ◽  
Minimal Tree ◽  
Protein Sequence Data

We have recently reported a method to identify the shortest possible phylogenetic tree for a set of protein sequences [Foulds Hendy & Penny (1979) J. Mol. Evol. 13. 127–150; Foulds, Penny & Hendy (1979) J. Mol. Evol. 13, 151–166]. The present paper discusses issues that arise during the construction of minimal phylogenetic trees from protein-sequence data. The conversion of the data from amino acid sequences into nucleotide sequences is shown to be advantageous. A new variation of a method for constructing a minimal tree is presented. Our previous methods have involved first constructing a tree and then either proving that it is minimal or transforming it into a minimal tree. The approach presented in the present paper progressively builds up a tree, taxon by taxon. We illustrate this approach by using it to construct a minimal tree for ten mammalian haemoglobin alpha-chain sequences. Finally we define a measure of the complexity of the data and illustrate a method to derive a directed phylogenetic tree from the minimal tree.

scholarly journals Investigation of Two Evolutionarily Unrelated Halocarboxylic Acid Dehalogenase Gene Families

1999 ◽  
Vol 181 (8) ◽  
pp. 2535-2547 ◽  
Author(s):  
Katja E. Hill ◽  
Julian R. Marchesi ◽  
Andrew J. Weightman
Keyword(s):  
Amino Acid ◽  
Molecular Analysis ◽  
Phylogenetic Trees ◽  
Gene Families ◽  
Amino Acid Sequences ◽  
Group I ◽  
Silent Genes ◽  
Degrading Bacteria ◽  
Group Ii ◽  
Almost All

ABSTRACT Dehalogenases are key enzymes in the metabolism of halo-organic compounds. This paper describes a systematic approach to the isolation and molecular analysis of two families of bacterial α-halocarboxylic acid (αHA) dehalogenase genes, called group I and group II deh genes. The two families are evolutionarily unrelated and together represent almost all of the αHAdeh genes described to date. We report the design and evaluation of degenerate PCR primer pairs for the separate amplification and isolation of group I and II dehgenes. Amino acid sequences derived from 10 of 11 group Ideh partial gene products of new and previously reported bacterial isolates showed conservation of five residues previously identified as essential for activity. The exception, DehD from a Rhizobium sp., had only two of these five residues. Group II deh gene sequences were amplified from 54 newly isolated strains, and seven of these sequences were cloned and fully characterized. Group II dehalogenases were stereoselective, dechlorinating l- but not d-2-chloropropionic acid, and derived amino acid sequences for all of the genes exceptdehII°P11 showed conservation of previously identified essential residues. Molecular analysis of the twodeh families highlighted four subdivisions in each, which were supported by high bootstrap values in phylogenetic trees and by enzyme structure-function considerations. Group Ideh genes included two putative cryptic or silent genes, dehI°PP3 anddehI°17a, produced by different organisms. Group II deh genes included two cryptic genes and an active gene, dehII PP3, that can be switched off and on. All αHA-degrading bacteria so far described were Proteobacteria, a result that may be explained by limitations either in the host range fordeh genes or in isolation methods.

The Study of Plant Phylogeny Using Amino Acid Sequences of Ribulose-1,5-Bisphosphate Carboxylase. IV. Proteaceae and Fagaceae and the Rate of Evolution of the Small Subunit

1984 ◽  
Vol 32 (3) ◽  
pp. 291 ◽  
Author(s):  
PG Martin ◽  
JM Dowd
Keyword(s):  
Amino Acid ◽  
Plate Tectonics ◽  
Phylogenetic Trees ◽  
Small Subunit ◽  
Amino Acid Sequences ◽  
Ribulose Bisphosphate Carboxylase ◽  
Bisphosphate Carboxylase ◽  
Plant Phylogeny ◽  
Rates Of Evolution ◽  
Molecular Evolutionary Clock

N-terminal, 40 amino acid sequences of ribulose bisphosphate carboxylase small subunit (SSU) are given for four species of Proteaceae, six of Fagaceae including four from Nothofagus, and seven from Solanaceae including six new sequences from Nicotiana. Phylogenetic trees, regarded as tentative since only one protein is involved, are given for each of the three groups and approximate positions of the families in the angiosperm tree are indicated. An example of the destabilizing of a hitherto invariant site is given. Working from the 'molecular evolutionary clock' hypothesis, and deriving time from plate tectonics, the data from both Proteaceae and Nothofagus lead to rates of evolution of SSU of one non-silent nucleotide substitution per 9 My. This agrees with an early Cretaceous origin of the angiosperms. A test is proposed to distinguish distributions that are the result of 'vicariance biogeography' from those due to 'dispersal biogeography'. It is concluded that distribution of Nicotiana is most likely due to dispersal.

scholarly journals Molecular evolution of enolase.

2005 ◽  
Vol 52 (2) ◽  
pp. 507-513 ◽  
Author(s):  
Michał Piast ◽  
Irena Kustrzeba-Wójcicka ◽  
Małgorzata Matusiewicz ◽  
Teresa Banaś
Keyword(s):  
Amino Acid ◽  
Molecular Evolution ◽  
Functional Diversity ◽  
Phylogenetic Trees ◽  
Amino Acid Sequences ◽  
Evolutionary Relationships ◽  
Sort Intolerant From Tolerant ◽  
Alpha Beta ◽  
Gamma Enolase ◽  
Program Show

Enolase (EC 4.2.1.11) is an enzyme of the glycolytic pathway catalyzing the dehydratation reaction of 2-phosphoglycerate. In vertebrates the enzyme exists in three isoforms: alpha, beta and gamma. The amino-acid and nucleotide sequences deposited in the GenBank and SwissProt databases were subjected to analysis using the following bioinformatic programs: ClustalX, GeneDoc, MEGA2 and S.I.F.T. (sort intolerant from tolerant). Phylogenetic trees of enolases created with the use of the MEGA2 program show evolutionary relationships and functional diversity of the three isoforms of enolase in vertebrates. On the basis of calculations and the phylogenetic trees it can be concluded that vertebrate enolase has evolved according to the "birth and death" model of evolution. An analysis of amino acid sequences of enolases: non-neuronal (NNE), neuron specific (NSE) and muscle specific (MSE) using the S.I.F.T. program indicated non-uniform number of possible substitutions. Tolerated substitutions occur most frequently in alpha-enolase, while the lowest number of substitutions has accumulated in gamma-enolase, which may suggest that it is the most recently evolved isoenzyme of enolase in vertebrates.

scholarly journals Large-scale Phylogenomic Analysis Provides New Insights Into the Phylogeny of the Order Gadiformes and Evolution of Freshwater Gadiform Species Burbot (Lota lota)

2021 ◽  
Author(s):  
Zhiqiang Han ◽  
Chenyan Shou ◽  
Manhong Liu ◽  
Tianxiang Gao
Keyword(s):  
Amino Acid ◽  
Phylogenetic Relationships ◽  
Phylogenetic Trees ◽  
Large Scale ◽  
Amino Acid Sequences ◽  
Phylogenomic Analysis ◽  
Data Set ◽  
Lota Lota ◽  
The Family ◽  
Tree Building

Our understanding of phylogenetic relationships among Gadiformes fish is obtained through the analysis of a small number of genes, but uncertainty remains around critical nodes. A series of phylogenetic controversial exists at the suborder, family, subfamily, and species levels. A total of 1105 orthologous exon sequences and translated amino acid sequences from 36 genomes and 12 transcriptomes covering 33 species were applied to investigate the phylogenetic relationships within Gadiformes and address these problems. Phylogenetic trees reconstructed with the amino acid data set using different tree-building methods (RAxML and MrBayes) showed consistent topology. The monophyly of Gadifromes was confirmed in our study. However, the three suborders Muraenolepidoidei, Macrouroidei, and Gadoidei were not well recovered by our phy-logenomic study, rejecting the validity of suborder Muraenolepidoidei. Four major lineages were revealed in this study. The family Bregmacerotidae forming clade I was the basal lineage of Gadiformes. The family Merluciidae formed clade II. Clade III contained families Melanonidae, Muraenolepididae, Macrouridae (with subfamilies Trachyrincinae, Macrourinae, and Bathygadinae), and Moridae. Clade IV contained at least three families of suborder Gadoidei, i.e., Gadidae, Phycidae, and Ranicipitidae. The subspecies of Lota lota from Amur River were confirmed, indicating that exon markers were a valid high-resolution method for delimiting subspecies or distinct lineages within species level. The PSMC analysis of different populations of L. lota suggests a continuous decline since 2 Myr.

A phylogeny of higher plants based on the amino acid sequences of cytochrome c and its biological implications

1972 ◽  
Vol 181 (1065) ◽  
pp. 441-455 ◽  
Keyword(s):  
Amino Acid ◽  
Numerical Methods ◽  
Cytochrome C ◽  
Phylogenetic Trees ◽  
Higher Plants ◽  
Morphological Characters ◽  
Amino Acid Sequences ◽  
Ancestral Sequence ◽  
Higher Plant

Higher plant phylogenetic trees were constructed from the amino acid sequences of cytochrome c from fifteen plants using the ‘ancestral sequence’ and ‘flexible numerical’ methods. The validity of these methods is discussed and the results obtained are compared with existing phylogenies based mainly on morphological characters.

scholarly journals Phylogenetic analysis of human rhinovirus capsid protein VP1 and 2A protease coding sequences confirms shared genus-like relationships with human enteroviruses

2005 ◽  
Vol 86 (3) ◽  
pp. 697-706 ◽  
Author(s):  
Pia Laine ◽  
Carita Savolainen ◽  
Soile Blomqvist ◽  
Tapani Hovi
Keyword(s):  
Phylogenetic Analysis ◽  
Amino Acid ◽  
Capsid Protein ◽  
Phylogenetic Trees ◽  
Amino Acid Sequences ◽  
Human Rhinovirus ◽  
Human Enterovirus ◽  
Coding Region ◽  
Coding Sequences ◽  
Capsid Protein Vp1

Phylogenetic analysis of the capsid protein VP1 coding sequences of all 101 human rhinovirus (HRV) prototype strains revealed two major genetic clusters, similar to that of the previously reported VP4/VP2 coding sequences, representing the established two species, Human rhinovirus A (HRV-A) and Human rhinovirus B (HRV-B). Pairwise nucleotide identities varied from 61 to 98 % within and from 46 to 55 % between the two HRV species. Interserotypic sequence identities in both HRV species were more variable than those within any Human enterovirus (HEV) species in the same family. This means that unequivocal serotype identification by VP1 sequence analysis used for HEV strains may not always be possible for HRV isolates. On the other hand, a comprehensive insight into the relationships between VP1 and partial 2A sequences of HRV and HEV revealed a genus-like situation. Distribution of pairwise nucleotide identity values between these genera varied from 41 to 54 % in the VP1 coding region, similar to those between heterologous members of the two HRV species. Alignment of the deduced amino acid sequences revealed more fully conserved amino acid residues between HRV-B and polioviruses than between the two HRV species. In phylogenetic trees, where all HRVs and representatives from all HEV species were included, the two HRV species did not cluster together but behaved like members of the same genus as the HEVs. In conclusion, from a phylogenetic point of view, there are no good reasons to keep these two human picornavirus genera taxonomically separated.

scholarly journals Presence of Novel, Potentially Homoacetogenic Bacteria in the Rumen as Determined by Analysis of Formyltetrahydrofolate Synthetase Sequences from Ruminants

2010 ◽  
Vol 76 (7) ◽  
pp. 2058-2066 ◽  
Author(s):  
Gemma Henderson ◽  
Graham E. Naylor ◽  
Sinead C. Leahy ◽  
Peter H. Janssen
Keyword(s):  
Amino Acid ◽  
Phylogenetic Trees ◽  
Amino Acid Sequences ◽  
Bootstrap Support ◽  
Bacterial Isolates ◽  
Conserved Residues ◽  
Formyltetrahydrofolate Synthetase ◽  
Full Diversity ◽  
Genes Encoding ◽  
Key Enzyme

ABSTRACT Homoacetogens produce acetate from H2 and CO2 via the Wood-Ljungdahl pathway. Some homoacetogens have been isolated from the rumen, but these organisms are expected to be only part of the full diversity present. To survey the presence of rumen homoacetogens, we analyzed sequences of formyltetrahydrofolate synthetase (FTHFS), a key enzyme of the Wood-Ljungdahl pathway. A total of 275 partial sequences of genes encoding FTHFS were PCR amplified from rumen contents of a cow, two sheep, and a deer. Phylogenetic trees were constructed using these FTHFS gene sequences and the translated amino acid sequences, together with other sequences from public databases and from novel nonhomoacetogenic bacteria isolated from the rumen. Over 90% of the FTHFS sequences fell into 34 clusters defined with good bootstrap support. Few rumen-derived FTHFS sequences clustered with sequences of known homoacetogens. Conserved residues were identified in the deduced FTHFS amino acid sequences from known homoacetogens, and their presence in the other sequences was used to determine a “homoacetogen similarity” (HS) score. A homoacetogen FTHFS profile hidden Markov model (HoF-HMM) was used to assess the homology of rumen and homoacetogen FTHFS sequences. Many clusters had low HS scores and HoF-HMM matches, raising doubts about whether the sequences originated from homoacetogens. In keeping with these findings, FTHFS sequences from nonhomoacetogenic bacterial isolates grouped in these clusters with low scores. However, sequences that formed 10 clusters containing no known isolates but representing 15% of our FTHFS sequences from rumen samples had high HS scores and HoF-HMM matches and so could represent novel homoacetogens.

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